Tailoring a molecule’s properties to improve its binding, specificity, half-life, therapeutic index etc, will greatly improve its chance of success in the clinic. Similarly, assessing and predicting a molecule’s developability will
increase its candidacy for advancement into the clinic. Join us at this year’s Optimisation & Developability conference to hear how new approaches such as machine learning, in silico and high throughput approaches are helping to improve candidate
selection and lead optimisation.